The K Function Methods on a Network
Ikuho Yamada,Atsuyuki Okabe +1 more
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The objective of this paper is to propose new methods for analyzing relationships between point objects distributed on a network using the K function method, which is used to analyze a distribution of point objects on a continuous plane.Abstract:
The objective of this paper is to propose new methods for analyzing relationships between point objects distributed on a network.First, the K function method, which is used to analyze a distribution of point objects on a continuous plane, is extended into the network K function method to be applied to a distribution on a network. Second, the network cross K function method is defined as a method that deals with the relationship between two distributions of point objects on a network. Third, a computational method for the network K function methods is proposed.read more
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Spatial heterogeneity assessment of factors affecting sewer pipe blockages and predictions.
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Spatial Analysis in GIS Environments
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Book ChapterDOI
Extension of Spatial Correlation Analysis to Road Network Spaces
Toshihiro Osaragi,Tomoyuki Naito +1 more
TL;DR: A method for applying spatial correlation analysis to a road-network space and the details of computation methods are discussed and a comparison of the results from the Euclidean distance and the network distance is shown.
References
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Book
Interactive Spatial Data Analysis
TL;DR: A: Introduction 1. Spatial data analysis 2. Computers and Spatial Data Analysis B: The Analysis of Data Associated with Points 3. Methods Relating to Point Patterns 4. Methodsrelating to Marked Point Patterns 5. MethodsRelating to a Continuously Varying Attribute Sampled at Points.
Proceedings ArticleDOI
Fibonacci Heaps And Their Uses In Improved Network Optimization Algorithms
TL;DR: The structure, Fibonacci heaps (abbreviated F-heaps), extends the binomial queues proposed by Vuillemin and studied further by Brown to obtain improved running times for several network optimization algorithms.
Journal ArticleDOI
Statistical Analysis of the Distribution of Points on a Network
TL;DR: In this paper, four statistical methods that examine the distribution of points on a network (e.g., distribution of retail stores along streets) are presented. But they do not consider the effect of infrastructural elements (such as railway stations and big parks) on the distributions of activity points on networks.
Journal ArticleDOI
The Multi Nearest Neighbor Distance Method for Analyzing the Compound Effect of Infrastructural Elements on the Distribution of Activity Points
Atsuyuki Okabe,Tohru Yoshikawa +1 more
TL;DR: A statistical method to analyze the compound effect of infrastructural elements on the distribution of activity points over a region and develops multivariate statistical methods for testing several hypotheses about these compound effects.
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